Bayesian CNN-BiLSTM and Vine-GMCM Based Probabilistic Forecasting of Hour-Ahead Wind Farm Power Outputs
Author:
Affiliation:
1. School of Engineering, University of Edinburgh, Edinburgh, U.K.
2. Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia
3. University of Campania Luigi Vanvitelli, Aversa, Italy
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Renewable Energy, Sustainability and the Environment
Link
http://xplorestaging.ieee.org/ielx7/5165391/9739096/09706302.pdf?arnumber=9706302
Reference74 articles.
1. Probabilistic gradient boosting machines for GEFCom2014 wind forecasting
2. A multiple quantile regression approach to the wind, solar, and price tracks of GEFCom2014
3. K-nearest neighbors and a kernel density estimator for GEFCom2014 probabilistic wind power forecasting
4. Use probabilistic forecasting to model uncertainties in electricity markets—A wind power example
5. Smooth pinball neural network for probabilistic forecasting of wind power;hatalis,2017
Cited by 25 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. An enhanced feature extraction based long short-term memory neural network for wind power forecasting via considering the missing data reconstruction;Energy Reports;2024-06
2. A short-term wind power forecasting method based on multivariate signal decomposition and variable selection;Applied Energy;2024-04
3. Accurate water quality prediction with attention-based bidirectional LSTM and encoder–decoder;Expert Systems with Applications;2024-03
4. A new methodology to improve wind power prediction accuracy considering power quality disturbance dimension reduction and elimination;Energy;2024-01
5. Probabilistic Electricity Price Forecasting and Uncertainty Estimation Using Deep Bayesian Model with Multi-Distribution Fusion;2024
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3